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            <h1>info.debatty.jinu.Case</h1>
            <p>2017-06-28 15:10:17</p>

            <h2>Case details</h2>
            <p>Test case: info.debatty.jinu.Case</p>
            <p>Version: -8410665986195727430</p>
            <p>Iterations: 10</p>
            <p>Tests:</p>
            <ul>
                                    <li>spark.kmedoids.eval.Synthetic.ClaransTest@184cf7cf</li>
                                    <li>spark.kmedoids.eval.Synthetic.HeuristicTest@38c5cc4c</li>
                                    <li>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest@37918c79</li>
                            </ul>

            <p>Classpath:</p>
            <ul>
                                    <li>/opt/spark/conf/</li>
                                        <li>/opt/spark/jars/ST4-4.0.4.jar</li>
                                        <li>/opt/spark/jars/eigenbase-properties-1.1.5.jar</li>
                                        <li>/opt/spark/jars/scala-library-2.11.8.jar</li>
                                        <li>/opt/spark/jars/super-csv-2.2.0.jar</li>
                                        <li>/opt/spark/jars/shapeless_2.11-2.0.0.jar</li>
                                        <li>/opt/spark/jars/validation-api-1.1.0.Final.jar</li>
                                        <li>/opt/spark/jars/xmlenc-0.52.jar</li>
                                        <li>/opt/spark/jars/jetty-util-6.1.26.jar</li>
                                        <li>/opt/spark/jars/spark-repl_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/snappy-java-1.1.2.6.jar</li>
                                        <li>/opt/spark/jars/jackson-jaxrs-1.9.13.jar</li>
                                        <li>/opt/spark/jars/spark-core_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-common-1.8.1.jar</li>
                                        <li>/opt/spark/jars/spark-mllib_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/univocity-parsers-2.2.1.jar</li>
                                        <li>/opt/spark/jars/aopalliance-1.0.jar</li>
                                        <li>/opt/spark/jars/xbean-asm5-shaded-4.4.jar</li>
                                        <li>/opt/spark/jars/metrics-json-3.1.2.jar</li>
                                        <li>/opt/spark/jars/slf4j-log4j12-1.7.16.jar</li>
                                        <li>/opt/spark/jars/htrace-core-3.0.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0.1.jar</li>
                                        <li>/opt/spark/jars/antlr-runtime-3.4.jar</li>
                                        <li>/opt/spark/jars/aopalliance-repackaged-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/hk2-api-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/janino-3.0.0.jar</li>
                                        <li>/opt/spark/jars/calcite-core-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scala-parser-combinators_2.11-1.0.4.jar</li>
                                        <li>/opt/spark/jars/commons-dbcp-1.4.jar</li>
                                        <li>/opt/spark/jars/pmml-model-1.2.15.jar</li>
                                        <li>/opt/spark/jars/jtransforms-2.4.0.jar</li>
                                        <li>/opt/spark/jars/commons-configuration-1.6.jar</li>
                                        <li>/opt/spark/jars/hadoop-auth-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-api-2.6.4.jar</li>
                                        <li>/opt/spark/jars/json4s-ast_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/stringtemplate-3.2.1.jar</li>
                                        <li>/opt/spark/jars/javax.inject-1.jar</li>
                                        <li>/opt/spark/jars/jersey-server-2.22.2.jar</li>
                                        <li>/opt/spark/jars/commons-lang3-3.5.jar</li>
                                        <li>/opt/spark/jars/avro-1.7.7.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-2.22.2.jar</li>
                                        <li>/opt/spark/jars/commons-httpclient-3.1.jar</li>
                                        <li>/opt/spark/jars/commons-codec-1.10.jar</li>
                                        <li>/opt/spark/jars/chill_2.11-0.8.0.jar</li>
                                        <li>/opt/spark/jars/xercesImpl-2.9.1.jar</li>
                                        <li>/opt/spark/jars/opencsv-2.3.jar</li>
                                        <li>/opt/spark/jars/base64-2.3.8.jar</li>
                                        <li>/opt/spark/jars/metrics-graphite-3.1.2.jar</li>
                                        <li>/opt/spark/jars/jline-2.12.1.jar</li>
                                        <li>/opt/spark/jars/calcite-linq4j-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/jcl-over-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/compress-lzf-1.0.3.jar</li>
                                        <li>/opt/spark/jars/activation-1.1.1.jar</li>
                                        <li>/opt/spark/jars/commons-math3-3.4.1.jar</li>
                                        <li>/opt/spark/jars/spark-hive_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/curator-framework-2.6.0.jar</li>
                                        <li>/opt/spark/jars/jsr305-1.3.9.jar</li>
                                        <li>/opt/spark/jars/snappy-0.2.jar</li>
                                        <li>/opt/spark/jars/spark-catalyst_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/httpcore-4.4.4.jar</li>
                                        <li>/opt/spark/jars/apacheds-kerberos-codec-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-databind-2.6.5.jar</li>
                                        <li>/opt/spark/jars/core-1.1.2.jar</li>
                                        <li>/opt/spark/jars/spark-unsafe_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/scala-reflect-2.11.8.jar</li>
                                        <li>/opt/spark/jars/javax.annotation-api-1.2.jar</li>
                                        <li>/opt/spark/jars/jdo-api-3.0.1.jar</li>
                                        <li>/opt/spark/jars/chill-java-0.8.0.jar</li>
                                        <li>/opt/spark/jars/javax.ws.rs-api-2.0.1.jar</li>
                                        <li>/opt/spark/jars/jackson-xc-1.9.13.jar</li>
                                        <li>/opt/spark/jars/commons-digester-1.8.jar</li>
                                        <li>/opt/spark/jars/jul-to-slf4j-1.7.16.jar</li>
                                        <li>/opt/spark/jars/RoaringBitmap-0.5.11.jar</li>
                                        <li>/opt/spark/jars/api-asn1-api-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/java-xmlbuilder-1.0.jar</li>
                                        <li>/opt/spark/jars/leveldbjni-all-1.8.jar</li>
                                        <li>/opt/spark/jars/commons-compiler-3.0.0.jar</li>
                                        <li>/opt/spark/jars/spark-tags_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/lz4-1.3.0.jar</li>
                                        <li>/opt/spark/jars/spark-network-shuffle_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/kryo-shaded-3.0.3.jar</li>
                                        <li>/opt/spark/jars/metrics-core-3.1.2.jar</li>
                                        <li>/opt/spark/jars/commons-lang-2.6.jar</li>
                                        <li>/opt/spark/jars/parquet-column-1.8.1.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-shuffle-2.6.4.jar</li>
                                        <li>/opt/spark/jars/datanucleus-rdbms-3.2.9.jar</li>
                                        <li>/opt/spark/jars/pyrolite-4.13.jar</li>
                                        <li>/opt/spark/jars/spark-graphx_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/hive-jdbc-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jackson-mapper-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/mail-1.4.7.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-core-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-annotations-2.6.4.jar</li>
                                        <li>/opt/spark/jars/guice-3.0.jar</li>
                                        <li>/opt/spark/jars/hive-exec-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/commons-crypto-1.0.0.jar</li>
                                        <li>/opt/spark/jars/spire-macros_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-sql_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/parquet-format-2.3.0-incubating.jar</li>
                                        <li>/opt/spark/jars/scala-compiler-2.11.8.jar</li>
                                        <li>/opt/spark/jars/hive-metastore-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/netty-all-4.0.42.Final.jar</li>
                                        <li>/opt/spark/jars/breeze-macros_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/jackson-module-paranamer-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jackson-module-scala_2.11-2.6.5.jar</li>
                                        <li>/opt/spark/jars/metrics-jvm-3.1.2.jar</li>
                                        <li>/opt/spark/jars/mesos-1.0.0-shaded-protobuf.jar</li>
                                        <li>/opt/spark/jars/javax.inject-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/oro-2.0.8.jar</li>
                                        <li>/opt/spark/jars/slf4j-api-1.7.16.jar</li>
                                        <li>/opt/spark/jars/spark-mesos_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/json4s-jackson_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/javassist-3.18.1-GA.jar</li>
                                        <li>/opt/spark/jars/jersey-client-2.22.2.jar</li>
                                        <li>/opt/spark/jars/pmml-schema-1.2.15.jar</li>
                                        <li>/opt/spark/jars/arpack_combined_all-0.1.jar</li>
                                        <li>/opt/spark/jars/spark-yarn_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/jaxb-api-2.2.2.jar</li>
                                        <li>/opt/spark/jars/spark-sketch_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/osgi-resource-locator-1.0.1.jar</li>
                                        <li>/opt/spark/jars/scala-xml_2.11-1.0.2.jar</li>
                                        <li>/opt/spark/jars/ivy-2.4.0.jar</li>
                                        <li>/opt/spark/jars/jersey-common-2.22.2.jar</li>
                                        <li>/opt/spark/jars/spark-streaming_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/curator-recipes-2.6.0.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-core-1.8.0.jar</li>
                                        <li>/opt/spark/jars/spark-launcher_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/api-util-1.0.0-M20.jar</li>
                                        <li>/opt/spark/jars/guava-14.0.1.jar</li>
                                        <li>/opt/spark/jars/commons-logging-1.1.3.jar</li>
                                        <li>/opt/spark/jars/xz-1.0.jar</li>
                                        <li>/opt/spark/jars/json4s-core_2.11-3.2.11.jar</li>
                                        <li>/opt/spark/jars/parquet-encoding-1.8.1.jar</li>
                                        <li>/opt/spark/jars/javax.servlet-api-3.1.0.jar</li>
                                        <li>/opt/spark/jars/jersey-container-servlet-core-2.22.2.jar</li>
                                        <li>/opt/spark/jars/apacheds-i18n-2.0.0-M15.jar</li>
                                        <li>/opt/spark/jars/jersey-media-jaxb-2.22.2.jar</li>
                                        <li>/opt/spark/jars/httpclient-4.5.2.jar</li>
                                        <li>/opt/spark/jars/spark-hive-thriftserver_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/libthrift-0.9.2.jar</li>
                                        <li>/opt/spark/jars/jackson-annotations-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-common-2.6.4.jar</li>
                                        <li>/opt/spark/jars/jets3t-0.9.3.jar</li>
                                        <li>/opt/spark/jars/zookeeper-3.4.6.jar</li>
                                        <li>/opt/spark/jars/jackson-core-2.6.5.jar</li>
                                        <li>/opt/spark/jars/hive-beeline-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/jta-1.1.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-bundle-1.6.0.jar</li>
                                        <li>/opt/spark/jars/hadoop-yarn-server-web-proxy-2.6.4.jar</li>
                                        <li>/opt/spark/jars/scalap-2.11.8.jar</li>
                                        <li>/opt/spark/jars/mx4j-3.0.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-client-2.6.4.jar</li>
                                        <li>/opt/spark/jars/avro-ipc-1.7.7.jar</li>
                                        <li>/opt/spark/jars/commons-compress-1.4.1.jar</li>
                                        <li>/opt/spark/jars/antlr-2.7.7.jar</li>
                                        <li>/opt/spark/jars/parquet-jackson-1.8.1.jar</li>
                                        <li>/opt/spark/jars/objenesis-2.1.jar</li>
                                        <li>/opt/spark/jars/commons-pool-1.5.4.jar</li>
                                        <li>/opt/spark/jars/paranamer-2.3.jar</li>
                                        <li>/opt/spark/jars/jersey-guava-2.22.2.jar</li>
                                        <li>/opt/spark/jars/gson-2.2.4.jar</li>
                                        <li>/opt/spark/jars/protobuf-java-2.5.0.jar</li>
                                        <li>/opt/spark/jars/calcite-avatica-1.2.0-incubating.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-app-2.6.4.jar</li>
                                        <li>/opt/spark/jars/hadoop-mapreduce-client-jobclient-2.6.4.jar</li>
                                        <li>/opt/spark/jars/stax-api-1.0-2.jar</li>
                                        <li>/opt/spark/jars/hk2-locator-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/commons-cli-1.2.jar</li>
                                        <li>/opt/spark/jars/apache-log4j-extras-1.2.17.jar</li>
                                        <li>/opt/spark/jars/log4j-1.2.17.jar</li>
                                        <li>/opt/spark/jars/stream-2.7.0.jar</li>
                                        <li>/opt/spark/jars/jpam-1.1.jar</li>
                                        <li>/opt/spark/jars/avro-mapred-1.7.7-hadoop2.jar</li>
                                        <li>/opt/spark/jars/javolution-5.5.1.jar</li>
                                        <li>/opt/spark/jars/datanucleus-api-jdo-3.2.6.jar</li>
                                        <li>/opt/spark/jars/commons-beanutils-1.7.0.jar</li>
                                        <li>/opt/spark/jars/jackson-core-asl-1.9.13.jar</li>
                                        <li>/opt/spark/jars/spire_2.11-0.7.4.jar</li>
                                        <li>/opt/spark/jars/spark-mllib-local_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/py4j-0.10.4.jar</li>
                                        <li>/opt/spark/jars/curator-client-2.6.0.jar</li>
                                        <li>/opt/spark/jars/guice-servlet-3.0.jar</li>
                                        <li>/opt/spark/jars/hk2-utils-2.4.0-b34.jar</li>
                                        <li>/opt/spark/jars/parquet-hadoop-1.8.1.jar</li>
                                        <li>/opt/spark/jars/derby-10.12.1.1.jar</li>
                                        <li>/opt/spark/jars/JavaEWAH-0.3.2.jar</li>
                                        <li>/opt/spark/jars/hive-cli-1.2.1.spark2.jar</li>
                                        <li>/opt/spark/jars/joda-time-2.9.3.jar</li>
                                        <li>/opt/spark/jars/jetty-6.1.26.jar</li>
                                        <li>/opt/spark/jars/libfb303-0.9.2.jar</li>
                                        <li>/opt/spark/jars/hadoop-hdfs-2.6.4.jar</li>
                                        <li>/opt/spark/jars/spark-network-common_2.11-2.1.0.jar</li>
                                        <li>/opt/spark/jars/antlr4-runtime-4.5.3.jar</li>
                                        <li>/opt/spark/jars/commons-io-2.4.jar</li>
                                        <li>/opt/spark/jars/breeze_2.11-0.12.jar</li>
                                        <li>/opt/spark/jars/datanucleus-core-3.2.10.jar</li>
                                        <li>/opt/spark/jars/jodd-core-3.5.2.jar</li>
                                        <li>/opt/spark/jars/commons-collections-3.2.2.jar</li>
                                        <li>/opt/spark/jars/netty-3.8.0.Final.jar</li>
                                        <li>/opt/spark/jars/minlog-1.3.0.jar</li>
                                        <li>/opt/spark/jars/bonecp-0.8.0.RELEASE.jar</li>
                                        <li>/opt/spark/jars/commons-net-2.2.jar</li>
                                        <li>/opt/spark/jars/bcprov-jdk15on-1.51.jar</li>
                                        <li>/opt/hadoop/etc/hadoop/</li>
                                </ul>

            <h2>System</h2>
            <p>Hostname: spark-submit0-100107-prod</p>
            <p>Processors (cores): 32</p>
            <p>Memory (MB): 12743</p>

            <h2>Results</h2>
                            <canvas id="chart_0" width="640" height="480"></canvas>
            
            <canvas id="chart_time" width="640" height="480"></canvas>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#results-table">
                    Show/hide results table
                </a>
            </p>

            <table class="table table-condensed collapse in" id="results-table">
                <tr>
                    <th>Test</th>
                    <th>Parameter value</th>
                                            <td>r0</td>
                                        <th>time (ms)</th>
                    <th></th>
                </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>1454.0244270489225</td>
                                                <td>15390</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>1389.6284035243943</td>
                                                <td>15451</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>1492.7865601410303</td>
                                                <td>15513</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>1434.8931913096912</td>
                                                <td>15551</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>1427.2691278901707</td>
                                                <td>15327</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>1347.6795516513505</td>
                                                <td>15334</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>1419.4029390316598</td>
                                                <td>15419</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>15.0</td>
                                                    <td>1528.0096571078498</td>
                                                <td>15372</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1519.6888055749678</td>
                                                <td>30554</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1511.242102947984</td>
                                                <td>30306</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1472.7513438651565</td>
                                                <td>30286</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1494.6673739103717</td>
                                                <td>30470</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1490.6377535611578</td>
                                                <td>30446</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1489.1394747546872</td>
                                                <td>30413</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1448.9652651032304</td>
                                                <td>30347</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>30.0</td>
                                                    <td>1538.3017299412118</td>
                                                <td>30214</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>1595.7298642262654</td>
                                                <td>60338</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>1565.9923319065842</td>
                                                <td>60190</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>1529.934686360356</td>
                                                <td>60315</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>1562.4010462433432</td>
                                                <td>60435</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>1554.7295329513368</td>
                                                <td>60393</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>1531.1578603054586</td>
                                                <td>60363</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>1511.1731524284428</td>
                                                <td>60421</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>60.0</td>
                                                    <td>1533.3431022219245</td>
                                                <td>60300</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>1541.5093258088286</td>
                                                <td>45546</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>1565.442186097176</td>
                                                <td>45240</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>1561.061561735518</td>
                                                <td>46072</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>1501.3935890505632</td>
                                                <td>45447</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>1515.1905950023067</td>
                                                <td>45385</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>1494.6577885180495</td>
                                                <td>45257</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>1556.9420541267314</td>
                                                <td>45244</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>45.0</td>
                                                    <td>1550.9748419115301</td>
                                                <td>45238</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1546.3110490356823</td>
                                                <td>45552</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1546.4430851350667</td>
                                                <td>45231</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1539.2122032523248</td>
                                                <td>45473</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1545.4934589080535</td>
                                                <td>45335</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1537.2856477737237</td>
                                                <td>45373</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1533.7512030228731</td>
                                                <td>45139</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1505.0965672846892</td>
                                                <td>45275</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1527.7272659611197</td>
                                                <td>45239</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>45.0</td>
                                                    <td>1522.4450706287098</td>
                                                <td>45253</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>1528.2829565418115</td>
                                                <td>45323</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>1508.0980511241783</td>
                                                <td>45283</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>1537.547615166058</td>
                                                <td>45189</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>1499.0590888097145</td>
                                                <td>45465</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>1562.1651586036578</td>
                                                <td>45339</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>1515.6877744561236</td>
                                                <td>45380</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>1540.0689692101605</td>
                                                <td>45206</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                        <td>45.0</td>
                                                    <td>1556.9124721181402</td>
                                                <td>45411</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1437.6782577679082</td>
                                                <td>15463</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1330.0842797235287</td>
                                                <td>15189</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1445.9323528695488</td>
                                                <td>15300</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1495.3876514828116</td>
                                                <td>15411</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1398.7886157225216</td>
                                                <td>15537</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1436.1382605715748</td>
                                                <td>15308</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1482.9409741223276</td>
                                                <td>15270</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1443.2834885242412</td>
                                                <td>15389</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>15.0</td>
                                                    <td>1502.7690357992851</td>
                                                <td>15382</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1486.1161135511911</td>
                                                <td>30279</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1500.468500974014</td>
                                                <td>30448</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1511.7567045548822</td>
                                                <td>30325</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1523.3689701018634</td>
                                                <td>30223</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1501.110659491521</td>
                                                <td>30431</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1508.7871895569642</td>
                                                <td>30381</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1503.0506876097932</td>
                                                <td>30391</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1496.1097005036247</td>
                                                <td>30417</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>30.0</td>
                                                    <td>1562.9065754734997</td>
                                                <td>30244</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>1558.8643890940873</td>
                                                <td>60343</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>1580.3197526235529</td>
                                                <td>60517</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>1537.3175456556014</td>
                                                <td>60279</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>1536.4514636498625</td>
                                                <td>60276</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>1554.158095752196</td>
                                                <td>60633</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>1538.2255054366753</td>
                                                <td>60319</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>1555.0139148940539</td>
                                                <td>60331</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                        <td>60.0</td>
                                                    <td>1542.8186407230573</td>
                                                <td>60711</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1396.107233661492</td>
                                                <td>18559</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1464.524386970821</td>
                                                <td>15308</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1509.153208934426</td>
                                                <td>15262</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1383.4663776535685</td>
                                                <td>15387</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1369.1173751442898</td>
                                                <td>15301</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1415.9657515932017</td>
                                                <td>15236</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1373.5318561094236</td>
                                                <td>15248</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1431.2913404008198</td>
                                                <td>15308</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>15.0</td>
                                                    <td>1435.4292201183616</td>
                                                <td>15260</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1550.2241782216206</td>
                                                <td>30430</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1523.086739731778</td>
                                                <td>30426</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1479.2273004261697</td>
                                                <td>30272</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1522.753904861084</td>
                                                <td>30321</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1507.6452711712507</td>
                                                <td>30461</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1573.6839425178662</td>
                                                <td>30477</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1436.0151319802626</td>
                                                <td>30338</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1519.4249240113386</td>
                                                <td>30456</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>30.0</td>
                                                    <td>1484.9206928674557</td>
                                                <td>30160</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1561.7522127943694</td>
                                                <td>60417</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1541.257658108579</td>
                                                <td>60286</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1516.5777221041321</td>
                                                <td>60310</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1548.5835187625512</td>
                                                <td>60513</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1561.54353563719</td>
                                                <td>60354</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1552.8889548880334</td>
                                                <td>60243</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1565.6973039482873</td>
                                                <td>60236</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1525.1696748614895</td>
                                                <td>60468</td>
                        <td></td>
                    </tr>
                                    <tr>
                        <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                        <td>60.0</td>
                                                    <td>1533.4135508715672</td>
                                                <td>60357</td>
                        <td></td>
                    </tr>
                            </table>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#confidence">
                    Show/hide confidence intervals
                </a>
            </p>
            <div class="collapse in" id="confidence">
                <h2>Confidence intervals</h2>
                <table class='table table-condensed'>
                    <tr>
                        <th>Test</th>
                        <th>Parameter value</th>
                        <th></th>
                                                    <td>r0</td>
                                                <th>time (ms)</th>
                    </tr>

                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>15.0</td>
                            <td>mean</td>
                                                            <td>1436.7117322131337</td>
                                                        <td>15419.625</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>15.0</td>
                            <td>std dev</td>
                                                            <td>56.4611877114536</td>
                                                        <td>81.08185898918958</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>15.0</td>
                            <td>low</td>
                                                            <td>1389.5089980262953</td>
                                                        <td>15351.838869520407</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>15.0</td>
                            <td>high</td>
                                                            <td>1483.914466399972</td>
                                                        <td>15487.411130479593</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>1495.6742312073457</td>
                                                        <td>30379.5</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>27.806554340677714</td>
                                                        <td>111.33989145212736</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>1472.4273700201052</td>
                                                        <td>30286.41752133404</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>1518.9210923945861</td>
                                                        <td>30472.58247866596</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>60.0</td>
                            <td>mean</td>
                                                            <td>1548.057697080464</td>
                                                        <td>60344.375</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>60.0</td>
                            <td>std dev</td>
                                                            <td>26.82101692553946</td>
                                                        <td>78.83062765919627</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>60.0</td>
                            <td>low</td>
                                                            <td>1525.6347657913282</td>
                                                        <td>60278.47094601171</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>60.0</td>
                            <td>high</td>
                                                            <td>1570.4806283696</td>
                                                        <td>60410.27905398829</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>45.0</td>
                            <td>mean</td>
                                                            <td>1535.896492781338</td>
                                                        <td>45428.62499999999</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>45.0</td>
                            <td>std dev</td>
                                                            <td>28.101398405511848</td>
                                                        <td>284.205125871136</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>45.0</td>
                            <td>low</td>
                                                            <td>1512.403135787278</td>
                                                        <td>45191.02356873731</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>45.0</td>
                            <td>high</td>
                                                            <td>1559.3898497753983</td>
                                                        <td>45666.22643126267</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>45.0</td>
                            <td>mean</td>
                                                            <td>1533.7517278891382</td>
                                                        <td>45318.88888888889</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>45.0</td>
                            <td>std dev</td>
                                                            <td>13.620910368520784</td>
                                                        <td>129.4280151710253</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>45.0</td>
                            <td>low</td>
                                                            <td>1523.28176934412</td>
                                                        <td>45219.40170949034</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>45.0</td>
                            <td>high</td>
                                                            <td>1544.2216864341565</td>
                                                        <td>45418.37606828744</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>45.0</td>
                            <td>mean</td>
                                                            <td>1530.9777607537305</td>
                                                        <td>45324.50000000001</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>45.0</td>
                            <td>std dev</td>
                                                            <td>22.53379835626681</td>
                                                        <td>96.09519090092708</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>45.0</td>
                            <td>low</td>
                                                            <td>1512.1390338841059</td>
                                                        <td>45244.16240993883</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</td>
                            <td>45.0</td>
                            <td>high</td>
                                                            <td>1549.8164876233552</td>
                                                        <td>45404.837590061186</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>15.0</td>
                            <td>mean</td>
                                                            <td>1441.4447685093053</td>
                                                        <td>15361.0</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>15.0</td>
                            <td>std dev</td>
                                                            <td>53.24355152262914</td>
                                                        <td>105.77097900653085</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>15.0</td>
                            <td>low</td>
                                                            <td>1400.518151847925</td>
                                                        <td>15279.697228342115</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>15.0</td>
                            <td>high</td>
                                                            <td>1482.3713851706855</td>
                                                        <td>15442.302771657885</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>1510.4083446463726</td>
                                                        <td>30348.77777777778</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>22.25543345141491</td>
                                                        <td>83.8999072969958</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>1493.301304123131</td>
                                                        <td>30284.286600054405</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>1527.515385169614</td>
                                                        <td>30413.268955501157</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>60.0</td>
                            <td>mean</td>
                                                            <td>1550.3961634786358</td>
                                                        <td>60426.125</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>60.0</td>
                            <td>std dev</td>
                                                            <td>14.993600828899675</td>
                                                        <td>170.64033813843616</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>60.0</td>
                            <td>low</td>
                                                            <td>1537.861199495111</td>
                                                        <td>60283.4661072423</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.HeuristicTest</td>
                            <td>60.0</td>
                            <td>high</td>
                                                            <td>1562.9311274621607</td>
                                                        <td>60568.7838927577</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>15.0</td>
                            <td>mean</td>
                                                            <td>1419.8429722873782</td>
                                                        <td>15652.111111111111</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>15.0</td>
                            <td>std dev</td>
                                                            <td>46.05190535516191</td>
                                                        <td>1091.0306416921162</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>15.0</td>
                            <td>low</td>
                                                            <td>1384.4443442263662</td>
                                                        <td>14813.470720652273</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>15.0</td>
                            <td>high</td>
                                                            <td>1455.2416003483902</td>
                                                        <td>16490.75150156995</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>mean</td>
                                                            <td>1510.7757873098697</td>
                                                        <td>30371.222222222223</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>std dev</td>
                                                            <td>40.53733248865974</td>
                                                        <td>106.64049158009558</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>low</td>
                                                            <td>1479.6160351935373</td>
                                                        <td>30289.25108403425</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>30.0</td>
                            <td>high</td>
                                                            <td>1541.935539426202</td>
                                                        <td>30453.193360410194</td>
                        </tr>
                                            <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>60.0</td>
                            <td>mean</td>
                                                            <td>1545.2093479973553</td>
                                                        <td>60353.77777777778</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>60.0</td>
                            <td>std dev</td>
                                                            <td>17.344685693435856</td>
                                                        <td>96.86301897238485</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>60.0</td>
                            <td>low</td>
                                                            <td>1531.8770423530618</td>
                                                        <td>60279.322270344885</td>
                        </tr>

                        <tr>
                            <td>spark.kmedoids.eval.Synthetic.ClaransTest</td>
                            <td>60.0</td>
                            <td>high</td>
                                                            <td>1558.5416536416487</td>
                                                        <td>60428.23328521068</td>
                        </tr>
                                    </table>
            </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#similarity">
                    Show/hide similarity
                </a>
            </p>

            <div class="collapse in" id="similarity">
                <h2>Test similarity</h2>
                <p><a href=\"https://en.wikipedia.org/wiki/Student's_t-test\">Student's
                        t-test</a>: values above 0.95 indicate both tests produce the
                    same average value.</p>

                <!-- For each parameter value -->
                                    <h3>Parameter value = 15.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.9249135443331419</td>
                                                                            <td>0.5985179135052328</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.9249135443331419</td>
                                                                            <td>1.0</td>
                                                                            <td>0.5472183001227244</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.5985179135052328</td>
                                                                            <td>0.5472183001227244</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 30.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.998784434554307</td>
                                                                            <td>0.5238107582017604</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.998784434554307</td>
                                                                            <td>1.0</td>
                                                                            <td>0.5242828155412296</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.5238107582017604</td>
                                                                            <td>0.5242828155412296</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 45.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.5615265638381447</td>
                                                                            <td>0.5506366254714681</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.5615265638381447</td>
                                                                            <td>1.0</td>
                                                                            <td>0.9892981706129984</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.5506366254714681</td>
                                                                            <td>0.9892981706129984</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                        <h3>Parameter value = 60.0</h3>

                                            <h4>r0</h4>
                        <table class='table table-condensed table-bordered'>
                            <tr>
                                <th></th>
                                                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                            </tr>

                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.ClaransTest</th>
                                                                            <td>1.0</td>
                                                                            <td>0.5680653269016243</td>
                                                                            <td>0.5630429160017846</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.HeuristicTest</th>
                                                                            <td>0.5680653269016243</td>
                                                                            <td>1.0</td>
                                                                            <td>0.9949629809955417</td>
                                                                    </tr>
                                                            <tr>
                                    <th>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</th>
                                                                            <td>0.5630429160017846</td>
                                                                            <td>0.9949629809955417</td>
                                                                            <td>1.0</td>
                                                                    </tr>
                                                    </table>
                                                </div>

            <p class="hidden-print">
                <a class="" data-toggle="collapse" href="#sources">
                    Show/hide sources
                </a>
            </p>
            <div class="collapse in" id="sources">
                <h2>Sources</h2>
                                    <h3>spark.kmedoids.eval.Synthetic.ClaransTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.Synthetic.HeuristicTest</h3>
                    <pre>
                    </pre>
                                    <h3>spark.kmedoids.eval.Synthetic.SimulatedAnnealingTest</h3>
                    <pre>
                    </pre>
                            </div>
        </div>
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